Program for nth Catalan Number using Dynamic Programming

We can observe that the above recursive implementation does a lot of repeated work. Since there are overlapping subproblems, we can use dynamic programming for this.

Step-by-step approach:

  • Create an array catalan[] for storing ith Catalan number.
  • Initialize, catalan[0] and catalan[1] = 1
  • Loop through i = 2 to the given Catalan number n.
    • Loop through j = 0 to j < i and Keep adding value of catalan[j] * catalan[i – j – 1] into catalan[i].
  • Finally, return catalan[n]

Follow the steps below to implement the above approach:

C++

#include <iostream>
using namespace std;
 
// A dynamic programming based function to find nth
// Catalan number
unsigned long int catalanDP(unsigned int n)
{
    // Table to store results of subproblems
    unsigned long int catalan[n + 1];
 
    // Initialize first two values in table
    catalan[0] = catalan[1] = 1;
 
    // Fill entries in catalan[] using recursive formula
    for (int i = 2; i <= n; i++) {
        catalan[i] = 0;
        for (int j = 0; j < i; j++)
            catalan[i] += catalan[j] * catalan[i - j - 1];
    }
 
    // Return last entry
    return catalan[n];
}
 
// Driver code
int main()
{
    for (int i = 0; i < 10; i++)
        cout << catalanDP(i) << " ";
    return 0;
}

                    

Java

import java.io.*;
class GFG {
 
    // A dynamic programming based function to find nth
    // Catalan number
    static int catalanDP(int n)
    {
        // Table to store results of subproblems
        int catalan[] = new int[n + 2];
 
        // Initialize first two values in table
        catalan[0] = 1;
        catalan[1] = 1;
 
        // Fill entries in catalan[]
        // using recursive formula
        for (int i = 2; i <= n; i++) {
            catalan[i] = 0;
            for (int j = 0; j < i; j++) {
                catalan[i]
                    += catalan[j] * catalan[i - j - 1];
            }
        }
 
        // Return last entry
        return catalan[n];
    }
 
    // Driver code
    public static void main(String[] args)
    {
        for (int i = 0; i < 10; i++) {
            System.out.print(catalanDP(i) + " ");
        }
    }
}
// This code contributed by Rajput-Ji

                    

Python3

# A dynamic programming based function to find nth
# Catalan number
 
 
def catalan(n):
    if (n == 0 or n == 1):
        return 1
 
    # Table to store results of subproblems
    catalan = [0]*(n+1)
 
    # Initialize first two values in table
    catalan[0] = 1
    catalan[1] = 1
 
    # Fill entries in catalan[]
    # using recursive formula
    for i in range(2, n + 1):
        for j in range(i):
            catalan[i] += catalan[j] * catalan[i-j-1]
 
    # Return last entry
    return catalan[n]
 
 
# Driver code
for i in range(10):
    print(catalan(i), end=" ")
# This code is contributed by Ediga_manisha

                    

C#

using System;
 
class GFG {
 
    // A dynamic programming based
    // function to find nth
    // Catalan number
    static uint catalanDP(uint n)
    {
        // Table to store results of subproblems
        uint[] catalan = new uint[n + 2];
 
        // Initialize first two values in table
        catalan[0] = catalan[1] = 1;
 
        // Fill entries in catalan[]
        // using recursive formula
        for (uint i = 2; i <= n; i++) {
            catalan[i] = 0;
            for (uint j = 0; j < i; j++)
                catalan[i]
                    += catalan[j] * catalan[i - j - 1];
        }
 
        // Return last entry
        return catalan[n];
    }
 
    // Driver code
    static void Main()
    {
        for (uint i = 0; i < 10; i++)
            Console.Write(catalanDP(i) + " ");
    }
}
 
// This code is contributed by Chandan_jnu

                    

Javascript

<script>
// Javascript program for nth Catalan Number
 
// A dynamic programming based function
// to find nth Catalan number
function catalanDP(n)
{
     
    // Table to store results
    // of subproblems
    let catalan= [];
 
    // Initialize first two
    // values in table
    catalan[0] = catalan[1] = 1;
 
    // Fill entries in catalan[]
    // using recursive formula
    for (let i = 2; i <= n; i++)
    {
        catalan[i] = 0;
        for (let j = 0; j < i; j++)
            catalan[i] += catalan[j] *
                   catalan[i - j - 1];
    }
 
    // Return last entry
    return catalan[n];
}
 
    // Driver Code
    for (let i = 0; i < 10; i++)
        document.write(catalanDP(i) + " ");
 
// This code is contributed _saurabh_jaiswal
</script>

                    

PHP

<?php
// PHP program for nth Catalan Number
 
// A dynamic programming based function
// to find nth Catalan number
function catalanDP( $n)
{
     
    // Table to store results
    // of subproblems
    $catalan= array();
 
    // Initialize first two
    // values in table
    $catalan[0] = $catalan[1] = 1;
 
    // Fill entries in catalan[]
    // using recursive formula
    for ($i = 2; $i <= $n; $i++)
    {
        $catalan[$i] = 0;
        for ( $j = 0; $j < $i; $j++)
            $catalan[$i] += $catalan[$j] *
                   $catalan[$i - $j - 1];
    }
 
    // Return last entry
    return $catalan[$n];
}
 
    // Driver Code
    for ($i = 0; $i < 10; $i++)
        echo catalanDP($i) , " ";
 
// This code is contributed anuj_67.
?>

                    

Output
1 1 2 5 14 42 132 429 1430 4862 

Time Complexity: O(n2)
Auxiliary Space: O(n)

Program for nth Catalan Number

Catalan numbers are defined as a mathematical sequence that consists of positive integers, which can be used to find the number of possibilities of various combinations. 

The nth term in the sequence denoted Cn, is found in the following formula:  

The first few Catalan numbers for n = 0, 1, 2, 3, … are : 1, 1, 2, 5, 14, 42, 132, 429, 1430, 4862, …  

Catalan numbers occur in many interesting counting problems like the following.

  1. Count the number of expressions containing n pairs of parentheses that are correctly matched. For n = 3, possible expressions are ((())), ()(()), ()()(), (())(), (()()).
  2. Count the number of possible Binary Search Trees with n keys (See this)
  3. Count the number of full binary trees (A rooted binary tree is full if every vertex has either two children or no children) with n+1 leaves.
  4. Given a number n, return the number of ways you can draw n chords in a circle with 2 x n points such that no 2 chords intersect.

See this for more applications. 

Examples:

Input: n = 6
Output: 132

Input: n = 8
Output: 1430

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